Search Results for "webcam face detection"
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Showing 3 open source projects for "webcam face detection"
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Take away the pain and hassle associated with applicant recruitment, hiring, and onboarding with ApplicantStack. Designed for HR professionals and recruiters, ApplicantStack helps streamline the recruiting and onboarding processes to improve productivity and reduce costs. ApplicantStack provides a complete toolkit that includes tools for posting, launching, and advertising jobs, assessing and managing candidates, collaborating with teams, centralizing information for quick hiring and onboarding, and more.
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MediaPipe
Cross-platform, customizable ML solutions for live and streaming media
MediaPipe offers open-source cross-platform, customizable ML solutions for live and streaming media. Provides segmentation masks for prominent humans in the scene. MediaPipe Face Mesh is a face geometry solution that estimates 468 3D face landmarks in real-time even on mobile devices. It employs machine learning (ML) to infer the 3D surface geometry, requiring only a single camera input without the need for a dedicated depth sensor. Utilizing lightweight model architectures together with GPU... -
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ncnn
High-performance neural network inference framework for mobile
... Classical CNN (VGG AlexNet GoogleNet Inception), Face Detection (MTCNN RetinaFace), Segmentation (FCN PSPNet UNet YOLACT), and more. ncnn is currently being used in a number of Tencent applications, namely: QQ, Qzone, WeChat, and Pitu. -
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TNN
Uniform deep learning inference framework for mobile
TNN, a high-performance, lightweight neural network inference framework open sourced by Tencent Youtu Lab. It also has many outstanding advantages such as cross-platform, high performance, model compression, and code tailoring. The TNN framework further strengthens the support and performance optimization of mobile devices on the basis of the original Rapidnet and ncnn frameworks. At the same time, it refers to the high performance and good scalability characteristics of the industry's...
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